Exploring a Need for a Cardiometabolic Disease Staging System as a Computerized Clinical Decision Support Tool: Qualitative Study

被引:0
作者
Karabukayeva, Aizhan [1 ]
Anderson, Jami L. [1 ]
Hall, Allyson G. [1 ]
Feldman, Sue S. [1 ,2 ]
Mehta, Tapan [3 ]
机构
[1] Univ Alabama Birmingham, Sch Hlth Profess, Dept Hlth Serv Adm, 1716 9th Ave South, Birmingham, AL 35294 USA
[2] Univ Alabama Birmingham, Heersink Sch Med, Dept Grad Med Educ, Birmingham, AL 35294 USA
[3] Univ Alabama Birmingham, Heersink Sch Med, Dept Family & Community Med, Birmingham, AL 35294 USA
关键词
cardiometabolic disease staging system; risk assessment; cardiometabolic disease; clinical decision support system; primary care; obesity; overweight; medical management; OBESITY; WEIGHT; OVERWEIGHT; PROVIDERS; ADULTS;
D O I
10.2196/37456
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Although cardiometabolic diseases are leading causes of morbidity and mortality in the United States, computerized tools for risk assessment of cardiometabolic disease are rarely integral components of primary care practice. Embedding cardiometabolic disease staging systems (CMDS) into computerized clinical decision support systems (CDSS) may assist with identifying and treating patients at greatest risk for developing cardiometabolic disease. Objective: This study aimed to explore the current approach to medical management of obesity and the need for CMDS designed to aid medical management of people living with obesity, at risk of being obese, or diabetic at the point of care. Methods: Using a general inductive approach, this qualitative research study was guided by an interpretive epistemology. The method included semistructured, in-depth interviews with primary care providers (PCPs) from university-based community health clinics. The literature informed the interview protocol and included questions on PCPs' experiences and the need for a tool to improve their ability to manage and prevent complications from overweight and obesity. Results: PCPs (N=10) described their current approaches and emphasized behavioral treatments consisting of combined diet, physical activity, and behavior therapy as the first line of treatment for people who were overweight or obese. Results suggest that beneficial features of CDSS include (1) clinically relevant and customizable support, (2) provision of a comprehensive medical summary with trends, (3) availability of patient education materials and community resources, and (4) simplicity and ease of navigation. Conclusions: Implementation of a CMDS via a CDSS could enable PCPs to conduct comprehensive cardiometabolic disease risk assessments, supporting clinical management of overweight, obesity, and diabetes. Results from this study provide unique insights to developers and researchers by identifying areas for design optimization, improved end user experience, and successful adoption of the CDSS.
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页数:11
相关论文
共 34 条
[1]   Prototype to Practice Developing and Testing a Clinical Decision Support System for Secondary Stroke Prevention in a Veterans Healthcare Facility [J].
Anderson, Jane A. ;
Willson, Pamela ;
Peterson, Nancy J. ;
Murphy, Chris ;
Kent, Thomas A. .
CIN-COMPUTERS INFORMATICS NURSING, 2010, 28 (06) :353-363
[2]  
[Anonymous], DIABETES
[3]   From text to codings - Intercoder reliability assessment in qualitative content analysis [J].
Burla, Laila ;
Knierim, Birte ;
Barth, Juergen ;
Liewald, Katharina ;
Duetz, Margreet ;
Abel, Thomas .
NURSING RESEARCH, 2008, 57 (02) :113-117
[4]   Coding In-depth Semistructured Interviews: Problems of Unitization and Intercoder Reliability and Agreement [J].
Campbell, John L. ;
Quincy, Charles ;
Osserman, Jordan ;
Pedersen, Ove K. .
SOCIOLOGICAL METHODS & RESEARCH, 2013, 42 (03) :294-320
[5]  
Cresswell Kathrin, 2011, Inform Prim Care, V19, P191
[6]  
Doebbeling B., 2011, Integrating Clinical Decision Support Into Workflow-Final Report
[7]   Comparing the Ability of Two Comprehensive Clinical Staging Systems to Predict Mortality: EOSS and CMDS [J].
Ejima, Keisuke ;
Xavier, Neena A. ;
Mehta, Tapan .
OBESITY, 2020, 28 (02) :353-361
[8]   Predictors of Weight Change: Findings From an Employee Wellness Program [J].
Feldman, Sue S. ;
Cochran, Randy A. ;
Mehta, Tapan .
FRONTIERS IN ENDOCRINOLOGY, 2019, 10
[9]   The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis [J].
Groenhof, T. Katrien J. ;
Asselbergs, Folkert W. ;
Groenwold, Rolf H. H. ;
Grobbee, Diederick E. ;
Visseren, Frank L. J. ;
Bots, Michiel L. ;
Asselbergs, F. W. ;
Nathoe, H. M. ;
de Borst, G. J. ;
Bots, M. L. ;
Geerlings, M. I. ;
Emmelot, M. H. ;
de Jong, P. A. ;
Leiner, T. ;
Lely, A. T. ;
van der Kaaij, N. P. ;
Kappelle, L. J. ;
Ruigrok, Y. M. ;
Verhaar, M. C. ;
Visseren, F. L. J. ;
Westerink, J. .
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (1)
[10]   Development of a Weighted Cardiometabolic Disease Staging (CMDS) System for the Prediction of Future Diabetes [J].
Guo, Fangjian ;
Garvey, W. Timothy .
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2015, 100 (10) :3871-3877